code: def model_multi_clone():
      inp = keras.Input(shape=(10,))
      x = Dense(10)(inp)
      y = Dense(10)(inp)
      z = Dense(10)(inp)
      xy = Add()([x, y])
      xy = Add()([xy, y])
      out = Add()([xy, z])
      model = keras.Model(inp, out)
      return model
  
file_path: hls4ml/test/pytest/test_stream_clone.py
imports: from pathlib import Path
  import numpy
  import pytest
  from keras.layers import Add, Dense
  from tensorflow import keras
  from hls4ml.converters import convert_from_keras_model
label_desc: Use image node_id 2 for calling a global function with example usage: model_multi_clone() and returns: model